FUZZY MODELING AND CLASSIFICATION OF TWO HUMAN HANDS EMG SIGNALS

Asst. Prof. Dr. Naufel Bahjat Mohammed

doi:10.17605/OSF.IO/Q7J2M

FUZZY MODELING AND CLASSIFICATION OF TWO HUMAN HANDS EMG SIGNALS

Authors

Asst. Prof. Dr. Naufel Bahjat Mohammed Head of the Computer Department, KISSR

DOI:

https://doi.org/10.17605/OSF.IO/Q7J2M

Keywords:

EMG signals, Fuzzy modeling, Human hand signal.

Abstract

Fuzzy logic and reasoning were applied to modeling and noise reduction of EMG signals measured from a person’s two hands. An OLIMEX 328 microcontroller and two EMG shields were used to measure the EMG signals. A new classification and noise reduction method was presented.

Downloads

Published

2023-03-02

How to Cite

Asst. Prof. Dr. Naufel Bahjat Mohammed. (2023). FUZZY MODELING AND CLASSIFICATION OF TWO HUMAN HANDS EMG SIGNALS. Open Access Repository, 4(3), 13–20. https://doi.org/10.17605/OSF.IO/Q7J2M